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Advances, Systems and Applications

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Ubiquitous intelligent edge computing

Journal of Cloud Computing welcomes submissions to the thematic series entitled "Ubiquitous intelligent edge computing"

The proliferation of Internet of things (IoT) and the burgeoning of 5G networks will generate a larger volume of data than has been previously possible. This advance in technology will see hundreds of applications  deployed at the edge to consume this data. As a distributed computing paradigm that computation is largely or completely performed on distributed device nodes, ubiquitous intelligent edge computing (UIEC) refers to the rapid development of artificial intelligence and edge computing resources to support real-time insights and analyses for applications. UIEC brings memory, computing power and intelligence closer to the location where it is needed, reduces the volumes of data that must be moved, the consequent traffic, and the distance the data must travel. As an emerging intelligence computing paradigm, UIEC mainly involves satisfying the intelligent service requirements to adapt machine learning, fog computing, computer vision, and natural language processing. Thus UIEC can accelerate the content deliveries and improve the quality of mobile services and applications, which is attracting more and more interest from academia and industry because of its advantages in throughput, delay, network scalability and intelligence. Meanwhile, UIEC also brings us new challenges, such as costs, communications, data moving and management, intelligent analysis and decisions, security and privacy issues.

Topics may include, but are not limited to:

  • Artificial intelligence-enabled UIEC
  • Cognitive-inspired UIEC
  • Human-driven UIEC
  • Model and architecture for UIEC
  • Data moving and management in UIEC
  • Data reduction and fusion in UIEC
  • Security and privacy in UIEC
  • Computation offloading and mobility management in UIEC
  • Energy efficient data sensing and processing in UIEC
  • High-performance low-cost communication for UIEC 
  • Application, case studies and test bed for UIEC
  • Novel techniques and future perspective in UIEC

Submission instructions

Before submitting your manuscript, please ensure you have carefully read the submission guidelines for Journal of Cloud Computing. The complete manuscript should be submitted through the Journal of Cloud Computing submission system. To ensure that you submit to the correct thematic series please select the appropriate thematic in the drop-down menu upon submission. All submissions will undergo rigorous peer review and accepted articles will be published within the journal as a collection.

Submission deadline: April 30 2020

Lead guest editor

Rongbo Zhu, South-Central University for Nationalities, China

Guest editors

Ashiq Anjum, University of Derby, UK
Maode Ma, Nanyang Technological University, Singapore
Xiazhu Liu, Wuhan University of Technology, China

Submissions will also benefit from the usual advantages of open access publication: 

  • Rapid publication: Online submission, electronic peer review and production make the process of publishing your article simple and efficient 
  • High visibility and international readership in your field: Open access publication ensures high visibility and maximum exposure for your work - anyone with online access can read your article 
  • No space constraints: Publishing online means unlimited space for figures, extensive data and video footage
  • Authors retain copyright, licensing the article under a Creative Commons license: articles can be freely redistributed and reused as long as the article is correctly attributed.  

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